Pollination biology of <i>Cleomella serrulata</i> and <i>Polanisia dodecandra</i> in a protected natural prairie in southern Alberta, Canada
Bibliographic record
Abstract
Flowering plants that attract a diverse range of pollinators represent a generalist pollination system. Studying these plants provides valuable information about accessibility of floral resources to pollinators, which is particularly important in areas where scarcity of flowers limits pollinator populations. Here, we describe the flowering phenology, reproductive biology, and visitor community of Cleomella serrulata (Pursh) Roalson & J.C.Hall and Polanisia dodecandra (L.) DC., two native species with generalist pollination systems and limited distribution in Albertan prairies. Although their flowers are similar, they differ in traits such as petal colour, inflorescence size, and nectar display. Both species were facultatively cross-pollinated and exhibited nocturnal anthesis but differed in nectar production patterns. Cleomella serrulata produced highest nectar volume in the morning and highest sugar concentration at noon, while Polanisia dodecandra produced highest nectar volume before noon but sugar concentrations were higher at sunset. We observed 150 insect taxa visiting the plants, with Hymenoptera and Diptera as the most frequent visitors for Cleomella serrulata and Polanisia dodecandra, respectively. We recorded the first nocturnal flower visitors for Cleomella serrulata and the first record of Nysson plagiatus (Cresson) for Alberta. Both plant species present effective nectar and pollen resources for pollinators at the study sites and may be useful in the maintenance of native pollinators in at-risk prairie ecosystems.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".